David Reilly
Papers
2
Total Citations
41
H-Index
2
About
David Reilly’s research sits at the intersection of developmental psychology and human-robot interaction, exploring how young children engage with social robots in early childhood education. His work addresses a critical gap: while social robots are increasingly entering preschool classrooms, little is known about how children actually interact with them compared to human instructors. In a key 2023 study (28 citations), Reilly observed 35 preschoolers during structured tasks like Simon Says, finding distinct patterns in how children engaged with a robot versus a human teacher. He further amplified this work by surveying 94 preschool teachers (13 citations), identifying both the perceived benefits—such as increased engagement and novelty—and barriers, including technical limitations and pedagogical concerns. These contributions have shaped conversations around the appropriate integration of technology in early learning environments. Reilly’s research is notable for its dual focus on child-centered observation and educator perspectives, providing a balanced, evidence-based foundation for designing developmentally appropriate robotic tools. His findings are increasingly cited by researchers in educational technology and child-computer interaction, positioning him as a thoughtful voice on the promise and pitfalls of social robots in the classroom.
Research Focus
Key Achievements
Top Papers
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